کتاب GraphQL vs. REST: Choosing the Right API با فرمت AZW3 برای کتابخوان کیندل و فرمت EPUB

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره GraphQL vs. REST: Choosing the Right API

موضوع کلی: برنامه نویسی

موضوع میانی: ای‌پی‌آی (API) و وب‌سرویس‌ها

📋 سرفصل‌های دوره

• 1. مقدمه ای بر API ها و وب سرویس ها
• 2. مفهوم API چیست؟
• 3. انواع API: REST, GraphQL, SOAP و غیره
• 4. وب سرویس چیست؟ تفاوت با API
• 5. تاریخچه API و تکامل آن
• 6. معماری RESTful چیست؟
• 7. اصول کلیدی معماری REST: Statelessness, Cacheability و غیره
• 8. متدهای HTTP: GET, POST, PUT, DELETE, PATCH
• 9. کدهای وضعیت HTTP: 2xx, 3xx, 4xx, 5xx
• 10. Endpoint چیست؟ ساختار URLهای RESTful
• 11. نمایش داده ها در REST: JSON و XML
• 12. مقدمه ای بر GraphQL
• 13. GraphQL چیست و چه مشکلاتی را حل می کند؟
• 14. Query, Mutation و Subscription در GraphQL
• 15. Schema و Type System در GraphQL
• 16. Resolverها در GraphQL
• 17. ابزار GraphiQL برای تست GraphQL API
• 18. تفاوت های کلیدی بین REST و GraphQL
• 19. Over-fetching و Under-fetching در REST
• 20. حل مشکل Over-fetching با GraphQL
• 21. دقت در انتخاب داده ها با GraphQL
• 22. مزایای GraphQL: سرعت، انعطاف پذیری، تجربه توسعه دهنده
• 23. معایب GraphQL: پیچیدگی، سربار پردازشی
• 24. مزایای REST: سادگی، گستردگی ابزار و کتابخانه ها
• 25. معایب REST: Over-fetching، مدیریت نسخه‌ها
• 26. مقایسه Performance در REST و GraphQL
• 27. Caching در REST: راهکارها و استراتژی ها
• 28. Caching در GraphQL: DataLoader و other techniques
• 29. Error Handling در REST: کدهای وضعیت HTTP
• 30. Error Handling در GraphQL: Field Errors و Global Errors
• 31. Authentication و Authorization در API ها
• 32. Authentication در REST: API Key, OAuth 2.0, JWT
• 33. Authorization در REST: RBAC و ACL
• 34. Authentication در GraphQL: Context و Custom Directives
• 35. Authorization در GraphQL: Field-level Authorization
• 36. Versioning در REST: URL versioning, Header versioning
• 37. Versioning در GraphQL: Schema evolution و Deprecation
• 38. Schema Design در REST: Considerations for scalability
• 39. Schema Design در GraphQL: Best practices for performance
• 40. Building a REST API with Node.js and Express
• 41. Defining REST endpoints and handlers
• 42. Implementing CRUD operations in REST
• 43. Validating input data in REST
• 44. Returning appropriate status codes and error messages
• 45. Building a GraphQL API with Node.js and Apollo Server
• 46. Defining GraphQL schema and types
• 47. Implementing resolvers for data fetching and mutation
• 48. Connecting to data sources with GraphQL
• 49. Implementing custom directives for authentication and authorization
• 50. Consuming REST APIs with JavaScript
• 51. Fetching data from REST APIs using `fetch`
• 52. Handling responses and errors in JavaScript
• 53. Displaying data from REST APIs in the UI
• 54. Consuming GraphQL APIs with JavaScript and Apollo Client
• 55. Writing GraphQL queries and mutations
• 56. Using Apollo Client to manage data fetching and caching
• 57. Displaying data from GraphQL APIs in the UI
• 58. Testing REST APIs with tools like Postman and Insomnia
• 59. Writing unit tests for REST API endpoints
• 60. Writing integration tests for REST API flows
• 61. Testing GraphQL APIs with GraphiQL and Apollo Client Devtools
• 62. Writing unit tests for GraphQL resolvers
• 63. Writing end-to-end tests for GraphQL queries and mutations
• 64. Security considerations for REST APIs
• 65. Preventing common REST API vulnerabilities: XSS, CSRF, Injection
• 66. Rate limiting and API quotas in REST
• 67. Security considerations for GraphQL APIs
• 68. Preventing common GraphQL API vulnerabilities: Query complexity, Introspection
• 69. Rate limiting and API quotas in GraphQL
• 70. Monitoring and logging REST APIs
• 71. Using monitoring tools to track REST API performance
• 72. Implementing logging for debugging and auditing
• 73. Monitoring and logging GraphQL APIs
• 74. Using monitoring tools to track GraphQL API performance
• 75. Implementing logging for debugging and auditing
• 76. GraphQL subscriptions for real-time updates
• 77. Implementing GraphQL subscriptions with WebSockets
• 78. Using GraphQL subscriptions for notifications and live data
• 79. REST vs GraphQL for mobile applications
• 80. REST vs GraphQL for web applications
• 81. REST vs GraphQL for microservices architectures
• 82. API Gateway patterns for REST and GraphQL
• 83. Combining REST and GraphQL in a single application
• 84. The future of API development: Emerging trends and technologies
• 85. Building a public REST API: Design considerations and best practices
• 86. Building a public GraphQL API: Design considerations and best practices
• 87. Designing API documentation for REST APIs: OpenAPI/Swagger
• 88. Designing API documentation for GraphQL APIs: GraphQL Playground
• 89. Choosing the right API style for your specific use case
• 90. GraphQL federation: Building distributed GraphQL APIs
• 91. REST API design patterns: HATEOAS, Pagination, Filtering
• 92. GraphQL performance optimization techniques: Batching, Caching, Persisted queries
• 93. Real-world examples of REST APIs: Google Maps, Twitter, Facebook
• 94. Real-world examples of GraphQL APIs: GitHub, Shopify, Yelp
• 95. Scaling REST APIs: Load balancing, Caching, Database sharding
• 96. Scaling GraphQL APIs: DataLoader, Query analysis, Federation
• 97. GraphQL schema stitching: Combining multiple GraphQL schemas
• 98. Advanced GraphQL concepts: Custom scalars, Unions, Interfaces
• 99. GraphQL code generation: Generating client-side code from GraphQL schemas
• 100. REST API security best practices: OWASP API Security Top 10